Value co-creation in industrial AI: The interactive role of B2B supplier, customer and technology provider

Li, Shuyang; Peng, Guochao; Xing, Fei; Zhang, Jun; Qian, Zhendong

doi:10.1016/j.indmarman.2021.07.015

Cited by 63 publications

(49 citation statements)

References 56 publications

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“…For practitioners, incorporating AI technologies into business operations has become an increasingly crucial strategy to create competitive advantages. The growing adoption of AI reflects the importance of understanding the value generated by AI to make efficient strategic decisions (Li et al , 2021). Through constant technological development, barriers are lowering and the possibilities of introducing AI solutions are becoming more feasible, at least in terms of narrow AI solutions.…”

Section: Discussionmentioning

confidence: 99%

“…Value co-creation has been identified as a subtopic and generally delineates an interactive business relationship among various market actors, which will become increasingly important in e-commerce and B2B that create business value with the same goal between themselves (Li et al, 2021). Paschen et al (2021b) and Li (2020) highlight the competitive advantages of incorporating AI technologies into business operations and point out that the strategy for creating competitive advantages is becoming increasingly important for retailers.…”

Section: 21mentioning

confidence: 99%

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Artificial intelligence in retail – a systematic literature review

Heins

2022

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Purpose The purpose of this study is to present a systematic literature review of academic peer-reviewed articles in English published between 2005 and 2021. The articles were reviewed based on the following features: research topic, conceptual and theoretical characterization, artificial intelligence (AI) methods and techniques. Design/methodology/approach This study examines the extent to which AI features within academic research in retail industry and aims to consolidate existing knowledge, analyse the development on this topic, clarify key trends and highlight gaps in the scientific literature concerning the role of AI in retail. Findings The findings of this study indicate an increase in AI literature within the field of retailing in the past five years. However, this research field is fairly fragmented in scope and limited in methodologies, and it has several gaps. On the basis of a structured topic allocation, a total of eight priority topics were identified and highlighted that (1) optimizing the retail value chain and (2) improving customer expectations with the help of AI are key topics in published research in this field. Research limitations/implications This study is based on academic peer-reviewed articles published before July 2021; hence, scientific outputs published after the moment of writing have not been included. Originality/value This study contributes to the in-depth and systematic exploration of the extent to which retail scholars are aware of and working on AI. To the best of the author’s knowledge, this study is the first systematic literature review within retailing research dealing with AI technology.

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Section: Discussionmentioning

confidence: 99%

Section: 21mentioning

confidence: 99%

Artificial intelligence in retail – a systematic literature review

Heins

2022

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“…Based on a screening of the full-text, 39 articles were then excluded with reason. Examples of exclusion included that the article dealt with a sender not tied to a company (e.g., Lanz, Goldenberg, Shapira, & Stahl, 2019), adoption or use of social media in general (e.g., Lacka & Chong, 2016), the use of technology/data combined with social media (e.g., Li, Peng, Xing, Zhang, & Zhang, 2021), or just a commentary (e.g., Stremersch, 2021). Finally, 47 research articles remained and thus were included in the actual literature review.…”

Section: Methodology Of Literature Reviewmentioning

confidence: 99%

Bridging the gap between B2B and B2C: Thought leadership in industrial marketing – A systematic literature review and propositions

Neuhaus

Millemann

Nijssen

2022

Industrial Marketing Management

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“…Business landscapes nowadays are painted by the co-creation of value with customers (Frow et al 2016;Li et al 2021;Prahalad and Ramaswamy 2004), which drives the firm's innovative initiatives and attainment of strategic advantage and sustainability (Barrett et al 2015;Ishizuka et al 2022;Lusch et al 2007). Along this surging wave of value co-creation, service-dominant logic (SDL) has become an influential school of thinking (Karpen et al 2012;Tregua et al 2021;Vargo and Lusch 2017), triggering a paradigm shift in the areas of marketing and service.…”

Section: Introductionmentioning

confidence: 99%

Towards becoming a service-dominant enterprise: an actor engagement perspective

Chou

Huang

2023

Serv Bus

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Service-dominant logic (SDL) has become an important thinking, in which service fuels growth of the firm. However, existing evidence offers little explanation of how service emerges as dominant logic. This paper investigates how a firm evolves to become an SDL enterprise. Drawing on theoretical notions of SDL and actor engagement, a case study of Homekoo is performed. The findings show that “service mindset” is the key that drives a firm to embrace SDL, and that technology can act as a “boundary spanner” to coordinate value co-creation practices across different levels, which enhances existing knowledge of actor-to-actor (A2A) interaction.

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Value co-creation in industrial AI: The interactive role of B2B supplier, customer and technology provider

Cited by 63 publications

References 56 publications

Artificial intelligence in retail – a systematic literature review

Artificial intelligence in retail – a systematic literature review

Bridging the gap between B2B and B2C: Thought leadership in industrial marketing – A systematic literature review and propositions

Towards becoming a service-dominant enterprise: an actor engagement perspective

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